For IoT applications that demand real-time response, typical cloud computing paradigms
relying on transferring all data to the cloud for processing are becoming more unsatisfactory …

Recent advances in artificial intelligence, edge computing, and big data have enabled
extensive reasoning capabilities at the edge of the network. Edge servers are now capable …

Traditional cloud computing techniques were successful in the past because there was less
data in the cloud. However, as time passes, the same methodologies or strategies provided …

Abstract The synergy between Artificial Intelligence (AI) and the Internet of Things (IoT) is
driving a profound transformation in device intelligence, cloud systems, and associated …

The burgeoning growth of the Internet of Things (IoT) has prompted a paradigm shift in
computing architectures, leading to the emergence and rapid evolution of edge computing …

Edge computing has been envisioned as an enabling technology to support data‐driven
services and local IoT applications by pushing computing, storage, and networking …

Abstract The Internet of Things (IoT) infrastructure encompasses smart devices and real-time
sensors connected through the Internet, facilitating the exchange of large datasets among …

Abstract Artificial Internet of Things (AIoT) amalgamates Artificial Intelligence (AI)
technologies with the Internet of Things (IoT), creating a paradigm that promises …

The rapid growth of the Internet of Things (IoT) has exponentially increased the number of
connected devices that generate large amounts of data. Leveraging advanced technologies …

The conjunction of Artificial Intelligence (AI) and the Internet of Things (IoT) presents a
transformative synergy that holds immense promise for various domains, ranging from …